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Data Scientist

Date Posted: Oct 17, 2026
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Job Detail

  • location_on
    Location Bengaluru, Karnataka, India
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Dec 07, 2026
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Job Description

Job Summary

  • Should have experience with the data analytics, data modeling or data architecture and database design.
  • Proven ability to design and implement scalable, efficient and robust data models for various business functions
  • Solid understanding of the JSON structures and physical data modeling using JSON
  • Proficient in creating ER diagrams and implementing data models suitable for the organization and tribe
  • Familiar with data governance and data quality best practices would be advantageous
  • Create conceptual, logical and physical data models to meet the business requirements
  • Provide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives
  • Develop and maintain comprehensive documentation for the data models including metadata and data lineage
  • Having a good understanding of No SQL database would be a plus
  • Collaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.
  • Translate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.
  • Conduct business process analysis and identify opportunities for process improvement and automation.
  • Create and maintain process flows, data models, interface specifications, and requirements traceability matrices.
  • Work closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.
  • Analyze data, systems, APIs, and integrations to support solution design and decision-making.
  • Ensure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.

Key Responsibilities

  • Should have experience with the data analytics, data modeling or data architecture and database design.
  • Proven ability to design and implement scalable, efficient and robust data models for various business functions
  • Solid understanding of the JSON structures and physical data modeling using JSON
  • Proficient in creating ER diagrams and implementing data models suitable for the organization and tribe
  • Familiar with data governance and data quality best practices would be advantageous
  • Create conceptual, logical and physical data models to meet the business requirements
  • Provide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives
  • Develop and maintain comprehensive documentation for the data models including metadata and data lineage
  • Having a good understanding of No SQL database would be a plus
  • Collaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.
  • Translate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.
  • Conduct business process analysis and identify opportunities for process improvement and automation.
  • Create and maintain process flows, data models, interface specifications, and requirements traceability matrices.
  • Work closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.
  • Analyze data, systems, APIs, and integrations to support solution design and decision-making.
  • Ensure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.

Skill Requirements

  • Should have experience with the data analytics, data modeling or data architecture and database design.
  • Proven ability to design and implement scalable, efficient and robust data models for various business functions
  • Solid understanding of the JSON structures and physical data modeling using JSON
  • Proficient in creating ER diagrams and implementing data models suitable for the organization and tribe
  • Familiar with data governance and data quality best practices would be advantageous
  • Create conceptual, logical and physical data models to meet the business requirements
  • Provide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives
  • Develop and maintain comprehensive documentation for the data models including metadata and data lineage
  • Having a good understanding of No SQL database would be a plus
  • Collaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.
  • Translate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.
  • Conduct business process analysis and identify opportunities for process improvement and automation.
  • Create and maintain process flows, data models, interface specifications, and requirements traceability matrices.
  • Work closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.
  • Analyze data, systems, APIs, and integrations to support solution design and decision-making.
  • Ensure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.

Other Requirements

  • Should have experience with the data analytics, data modeling or data architecture and database design.
  • Proven ability to design and implement scalable, efficient and robust data models for various business functions
  • Solid understanding of the JSON structures and physical data modeling using JSON
  • Proficient in creating ER diagrams and implementing data models suitable for the organization and tribe
  • Familiar with data governance and data quality best practices would be advantageous
  • Create conceptual, logical and physical data models to meet the business requirements
  • Provide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives
  • Develop and maintain comprehensive documentation for the data models including metadata and data lineage
  • Having a good understanding of No SQL database would be a plus
  • Collaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.
  • Translate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.
  • Conduct business process analysis and identify opportunities for process improvement and automation.
  • Create and maintain process flows, data models, interface specifications, and requirements traceability matrices.
  • Work closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.
  • Analyze data, systems, APIs, and integrations to support solution design and decision-making.
  • Ensure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.

Source: HCLTech careers — Read the original posting and apply

This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.

Company Overview

HCLTech
HCLTech · Noida, Uttar Pradesh, India
4,246 open roles

HCLTech is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More

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